this post was submitted on 21 Nov 2024
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A generative model uses the classifier as part of its training. If you generate a picture of pure random noise, then iteratively pick random noise that the classifier says "looks" more like csam, then you can effectively generate images that the classifier says it's 100% certain is csam. Whether or not that looks anything like what a human would consider to be csam depends on other factors but it remains a possibility.